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  • B²Lab
  • B²Lab
    • B²Lab

    임픽스의 발자취를 소개합니다.

    Big data platform that optimizes manufacturing facilities to build the foundation for AI manufacturing

    It is a big data optimization platform that supports the collection, storage, processing, and monitoring of data held
    by users. It provides various modules and platforms to secure static raw data by integrating and linking various data
    (in the form of structured, unstructured and semi-structured data) generated throughout the company.
    For these modules and platforms, we can increase the utilization potential of integrated data.

    B2LAB Introduction

    B2LAB Solution Platform

    B2LAB is a big data optimization platform that supports data collection, storage/processing, and monitoring.
    Each system is supported by modules to enhance the utilization of various data generated across the enterprise.

    C2 Complex X Collaboration

    This smart manufacturing collaboration solution enables real-time decision-making for anomaly detection, quality improvement, and productivity enhancement by supporting inter-process collaboration and data analysis based on manufacturing data collected from equipment.

    Big data collection and integration C2
    D2 DataLake X Dataflow

    This solution collects and stores large amounts of manufacturing data generated by equipment quickly and reliably, and delivers it to a data platform in accordance with the IEC 62541 standard and related applications.

    Data storage and processing D2
    E2 Enterprise Reporting X Expression

    Machine data such as logs from various equipment and production lines at the manufacturing site, sensor data, and machine data such as logs from various equipment and production lines, sensor data, etc.

    Data storage and processing E2

    Features

    • Discover and resolve
      potential problems
      in your data

    • Establishing hypotheses
      and processing
      various patterns

    • Real-time scalability
      and reliability

    • Processes data in a
      structure suitable for
      statistical inference and
      prediction models

    • Provide an operating
      System for integrated
      management

    • Integrated collection and
      standardized processing
      of heterogeneous data
      sources

    Data collection and optimization

    CEP(C2)

    Capable of processing more than 2 million transactions per second, C² is a solution that collects and stores detailed, large, and fast manufacturing big data from facilities and transmits the data to a big data platform with application integration such as the IEC 62541 standard.

    • Collect data by processing 500,000 events per second with CEP (Complex Event Processing)
    • Provides service design and model management capabilities for implementing AAS (Asset Administration Shell) profiles

    EAI(C2)

    Based on powerful input and output processing capabilities, C² can collect data quickly and reliably, and provides high flexibility and scalability by allowing customers to freely adjust the data collection configuration in the way they want.

    • Data standardization and event-based automated processing: Build real-time condition recognition and event-based response by operating CEP rules that are automatically processed when events occur.
    • Pre-learning model automation and transfer learning-based response: Expand data collection environment efficiency by automatically generating pre-learning models based on heterogeneous data and applying new facilities through transfer learning.

    Heterogeneous data integration (D²)

    D² is a solution that enables flexible storage and processing of data from heterogeneous systems.

    • Stable distributed storage of structured, unstructured, time series, and even RAW data by linking various data sources such as SCM, ERP, MES, and edge IIoT based on EAI
    • Optimization of data consistency monitoring system operation through establishment of data governance system for data sharing and utilization

    Multimodal Processing (D²)

    Multimodal processing creates a reliable and flexible ingestion pipeline and supports fast and efficient data preparation with refining, transforming, and exploring capabilities, providing a foundation for deriving various business insights within the enterprise.

    Data Processing (D²)

    D² serves as a data hub for integrated collection and management of BOD data.
    It uses the KS X 9101-based BOD Dictionary to build a standardized verb and noun dictionary (DB), which enables structured management of BOD data and the use of linkage tools.

    Real-time data monitoring

    Monitoring (E²)

    E² is a solution for monitoring collected data in real time, with WYSIWYG-based visualization tools that allow you to freely configure dashboards, giving you an intuitive, real-time view of the data flow on your manufacturing floor.

    • High-speed data visualization capabilities
    • Data exploration capabilities
    • ML, DL model exploration
    • Big data mining capabilities

    Data Drift (E²)

    Data drift detection enables early detection of problems in data collection and processing.
    This allows you to improve overall data quality.

    • Improving quality
    • Process optimization
    • Automation Productivity

    Digital Twin (E²)

    Based on field data, equipment, lines, and work environments are visualized in 3D to create a digital twin model that replicates the physical space in a virtual space, enabling the same level of awareness and intuitive monitoring as in the field.

    • Gather real-time information
    • Predict processes in real time
    • Verify function, characteristic behavior simulation

    Architectures